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Integrating Local Expertise into
   Virtual Libraries and Discovery
               Systems
     Simeon Warner (Cornell University Library)
describing work mostly of other people, the two key teams being:

   CuLLR team                   Discovery and Access,
   ● Adam Chandler              Integration Layer Team
   ● John Cline                 ● Simeon Warner

   ● Jeremy Cusker              ● Glen Wiley

   ● Dianne Dietrich            ● Rick Silterra

   ● Michael Engle              ● Keith Jenkins

   ● Holly Mistlebauer          ● Jon Corson-Rikert

   ● Jim Reidy                  ● Mira Myhre

   ● Marty Schlabach            ● Dianne Dietrich

   ● Leah Solla                 ● Dean Krafft




simeon.warner@cornell.edu, Fall CNI Membership Meeting 2011-12-12
photo: oldtasty @ flickr,, http://www.flickr.com/photos/oldtasty/11137571
Finding aids: The old way
photo: Editor B @ flickr, http://www.flickr.com/photos/editor/148825841
Experience with virtual library 1.0?
●   Specialized lists considered useful
●   Very painful to update
     (~ 3200 hand entered and updated items for the
     Physical Sciences Library)
●   Does not leverage information in catalog
     (search either local items or whole catalog)
CuLLR data flow and components
   CuLLR = Curated List of Library Resources
First stage is general...




           PLOP = Persistent Library Object Pages
...and then for each virtual library
Expectations for virtual library 2.0?
 ●   More functional as can relatively easily define a
 large subset of items in the catalog as relevant
 ●   Less painful to update. Significant effort to
 minimize manual work updating


 ●   May want ability to add items not in catalog
 ●   Don't yet know how similarly different virtual
 libraries will use CuLLR
Centralized Discovery and Access
            Facilities at Cornell
●   Goal is to provide “one search box” as a
    starting point for searches over all items
●   Recent decision to purchase Summon
●   Roll out first as article search replacing
    EBSCOhost (January 2012)
●   Expect to integrate catalog and other sources
    (e.g. eCommons) but not everything
Approach
●   Include what we can and what works in
    Summon (expect at least articles, catalog, IR)
●   Use additional result panes as necessary
●   Create system that gives overview with links to
    more specialized searches
●   Surface local resources and local expertise
●   Enable semantic queries
Integration
Layer
Open question
●   How do we use information from disciplinary
    virtual libraries in the central discovery and
    access system?
    ●   Inherent tension between local and global
    ●   Won't know user area initially, might infer likely area
        from query/results
    ●   How do we deal with possibly conflicting information
        about one resource as “used” in multiple virtual
        libraries?
Multiple panes vs one result set
Panes                             One result set
●   Easier to implement           ●   Simpler to understand
●   Shows space of possible       ●   Uniform interface for all
    results                           things
●   Avoid trying to rank apples   ●   More efficient use of
    and oranges together              screen real estate
Questions?


Me:
  ●   Simeon Warner <simeon.warner@cornell.edu>


Contact for CuLLR:
  ●   Holly Mistlebauer <hlm7@cornell.edu>

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Integrating Local Expertise into Virtual Libraries and Discovery Systems

  • 1. Integrating Local Expertise into Virtual Libraries and Discovery Systems Simeon Warner (Cornell University Library) describing work mostly of other people, the two key teams being: CuLLR team Discovery and Access, ● Adam Chandler Integration Layer Team ● John Cline ● Simeon Warner ● Jeremy Cusker ● Glen Wiley ● Dianne Dietrich ● Rick Silterra ● Michael Engle ● Keith Jenkins ● Holly Mistlebauer ● Jon Corson-Rikert ● Jim Reidy ● Mira Myhre ● Marty Schlabach ● Dianne Dietrich ● Leah Solla ● Dean Krafft simeon.warner@cornell.edu, Fall CNI Membership Meeting 2011-12-12
  • 2. photo: oldtasty @ flickr,, http://www.flickr.com/photos/oldtasty/11137571
  • 4. photo: Editor B @ flickr, http://www.flickr.com/photos/editor/148825841
  • 5.
  • 6.
  • 7.
  • 8. Experience with virtual library 1.0? ● Specialized lists considered useful ● Very painful to update (~ 3200 hand entered and updated items for the Physical Sciences Library) ● Does not leverage information in catalog (search either local items or whole catalog)
  • 9. CuLLR data flow and components CuLLR = Curated List of Library Resources
  • 10. First stage is general... PLOP = Persistent Library Object Pages
  • 11. ...and then for each virtual library
  • 12.
  • 13.
  • 14.
  • 15. Expectations for virtual library 2.0? ● More functional as can relatively easily define a large subset of items in the catalog as relevant ● Less painful to update. Significant effort to minimize manual work updating ● May want ability to add items not in catalog ● Don't yet know how similarly different virtual libraries will use CuLLR
  • 16.
  • 17. Centralized Discovery and Access Facilities at Cornell ● Goal is to provide “one search box” as a starting point for searches over all items ● Recent decision to purchase Summon ● Roll out first as article search replacing EBSCOhost (January 2012) ● Expect to integrate catalog and other sources (e.g. eCommons) but not everything
  • 18.
  • 19.
  • 20.
  • 21.
  • 22. Approach ● Include what we can and what works in Summon (expect at least articles, catalog, IR) ● Use additional result panes as necessary ● Create system that gives overview with links to more specialized searches ● Surface local resources and local expertise ● Enable semantic queries
  • 24. Open question ● How do we use information from disciplinary virtual libraries in the central discovery and access system? ● Inherent tension between local and global ● Won't know user area initially, might infer likely area from query/results ● How do we deal with possibly conflicting information about one resource as “used” in multiple virtual libraries?
  • 25. Multiple panes vs one result set Panes One result set ● Easier to implement ● Simpler to understand ● Shows space of possible ● Uniform interface for all results things ● Avoid trying to rank apples ● More efficient use of and oranges together screen real estate
  • 26. Questions? Me: ● Simeon Warner <simeon.warner@cornell.edu> Contact for CuLLR: ● Holly Mistlebauer <hlm7@cornell.edu>